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DTSTART:20220313T030000
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DTSTAMP:20220304T142459Z
UID:321A1120-38C0-4747-9C4A-05CA97EA20D0
DTSTART;TZID=Canada/Eastern:20220301T113000
DTEND;TZID=Canada/Eastern:20220301T123000
DESCRIPTION:Human-machine interfaces can include prosthetics\, exoskeleton\
 , soft robotics\, and many other interactions. Researchers\, including our
 selves\, have studied how to make the mechanisms themselves better for hum
 an interaction\; how to make control better\, and how to make the interact
 ion itself better. But what do we mean by better? In this talk we will sur
 vey some of the advances in the field\, but we will also highlight common 
 assumptions and pitfalls regarding what engineers assume needs to be optim
 ized\, vs. what end-users prefer. We will discuss ways to assess the broad
 er situation\, ranging from psychophysics to Bayesian inductive methods to
  get inside people’s heads. And we will discuss the notion of Pareto fro
 nts and behavioural economics to enable engineers and end-users to happily
  coexist. Applications will focus primarily on prostheses and exoskeletons
 \, but with relevance for other related fields like eating chocolate\, rai
 sing kids\, and thinking through Covid.\n\nSpeaker(s): Prof. Jon Sensinger
  \, \n\nOttawa\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.or
 g/m/306743
LOCATION:Ottawa\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.or
 g/m/306743
ORGANIZER:sreeramanr@sce.carleton.ca
SEQUENCE:2
SUMMARY:Human-machine interfaces: what makes them “good” and how can we
  enable that?
URL;VALUE=URI:https://events.vtools.ieee.org/m/306743
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Human-machine interfaces can include prost
 hetics\, exoskeleton\, soft robotics\, and many other interactions. Resear
 chers\, including ourselves\, have studied how to make the mechanisms them
 selves better for human interaction\; how to make control better\, and how
  to make the interaction itself better. But what do we mean by better? In 
 this talk we will survey some of the advances in the field\, but we will a
 lso highlight common assumptions and pitfalls regarding what engineers ass
 ume needs to be optimized\, vs. what end-users prefer. We will discuss way
 s to assess the broader situation\, ranging from psychophysics to Bayesian
  inductive methods to get inside people&amp;rsquo\;s heads. And we will discus
 s the notion of Pareto fronts and behavioural economics to enable engineer
 s and end-users to happily coexist. Applications will focus primarily on p
 rostheses and exoskeletons\, but with relevance for other related fields l
 ike eating chocolate\, raising kids\, and thinking through Covid.&lt;/p&gt;
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